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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Native Application Design and Creation	35%	- Application development workflow 1. Application roles and privileges 2. Building and versioning applications
Deployment and Marketplace Publishing	25%	- Distribution and lifecycle management 1. Marketplace listings and publishing 2. Version upgrades and release management
Snowflake Native App Framework Overview	20%	- Native application concepts and architecture 1. Application packages and structure 2. Manifest files and setup scripts
Installation, Testing and Troubleshooting	20%	- Validation and debugging 1. Tracing and troubleshooting workflows 2. Logging and event tables

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Snowflake SnowPro Specialty - Native Apps NAS-C01 Prüfungsfragen mit Lösungen (Q187-Q192):

187. Frage
You are building a Snowflake Native App that needs to store configuration settings specific to each consumer account. These settings will influence the behavior of the application. Which of the following methods is the MOST secure and recommended approach for managing these configuration settings within the Snowflake Native App Framework?

A. Utilize parameters defined in the 'setup.sql' script and accessible via SQL commands like 'SYSTEM$GET APP PARAMETER. This allows consumers to configure the application during installation.
B. Store the configuration settings directly within the application's code. This allows for easy access and modification during development.
C. Use external configuration files stored in an Amazon S3 bucket and accessed via external functions. This provides flexibility and scalability.
D. Store the configuration settings in a public database table within the application's share. This makes the settings easily accessible to all consumers.
E. Hardcode the configuration settings directly into the manifest file as environment variables.

Antwort: A

Begründung:
Using parameters defined in the 'setup.sqr script and accessed via 'SYSTEM$GET APP PARAMETER is the most secure and recommended approach. It allows consumers to configure the application during installation, provides a controlled and secure mechanism for accessing configuration settings, and prevents sensitive information from being directly embedded in the application code.

188. Frage
You are developing a Snowflake Native Application that needs to track usage metrics within consumer accounts. Specifically, you want to log the number of times a particular function within your application is called, and also store certain operational statistics. Which of the following storage options are available to you within the application package to persist these metrics, and what are their implications?
(Select TWO)

A. Leveraging external stages (e.g., AWS S3) to store the metrics. The application would need the necessary IAM roles and stage configuration.
B. Using the 'APPLICATION' schema to create persistent internal stages. Data written to these stages will persist across installations and updates.
C. Utilizing User-Defined Functions (UDFs) with external network access to push metrics to an external logging service.
D. Creating permanent tables within the application package using the 'APPLICATION' schema. These tables persist across installations and updates.
E. Using temporary tables within the application. These tables are automatically dropped at the end of the session.

Antwort: B,D

Begründung:
Options B and E are the correct choices. The 'APPLICATION' schema allows for the creation of permanent tables within the application package. These tables persist across installations and updates, making them suitable for storing usage metrics. Similarly internal stages created using the 'APPLICATION' schema will persist data across versions. Option A is incorrect as temporary tables are session-based. Option C introduces external dependencies that are not typically ideal for tightly integrated Native Apps for internal metrics. Option D involves external network calls which might be restricted and less efficient for logging internal metrics.

189. Frage
You are developing a Snowflake Native Application that uses a UDF to process data in the consumer's account. The UDF needs to access a specific table in the consumer's account but the UDF is running as Invoker's Rights (IR). Select all that apply to securely configure data access for this scenario using a data access framework and least privilege principles:

A. Create a secure view that exposes only the necessary columns of the table, granting 'SELECT privilege on the secure view to the application's invoker role. Configure the UDF to select from this secure view.
B. Create an API integration that enables the UDF to securely authenticate and access the data through an external service.
C. Grant 'SELECT privilege on the specific table to the application's service user role. Configure the UDF to run as OWNER, and use 'EXECUTE AS OWNER.
D. Create a stored procedure running as OWNER, grant necessary privileges, then call this SP from UDF running as Invoker.
E. Grant 'SELECT privilege on the specific table directly to the application's invoker role.

Antwort: A,D

Begründung:
Options B and E are correct. Option B implements the data access framework with least privilege using secure views. Granting direct SELECT access (Option C) to the table to the invoker role is not recommended because it exposes the entire table and it will not work as IR UDF cannot directly access consumer data. Using external services(Option D) is an option, but not the most efficient for accessing local data. Option A won't work directly without proper data access framework as it is. Data access framework will solve this issue. Using an intermediate SP as OWNER called by the UDF as INVOKER is a valid approach.

190. Frage
You've developed a Snowflake Native Application and are preparing to release a new version. You want to ensure that if any critical issues are detected after the upgrade, you can quickly revert users back to the previous stable version. Which combination of Snowflake features and best practices should you implement to facilitate a seamless rollback process? Select all that apply.

A. Implement robust logging and monitoring within your application to quickly identify and diagnose any issues after the upgrade.
B. Utilize the 'UNSTAGE VERSION' command to immediately remove the problematic version from all consumer accounts.
C. Before staging the new version, create a new version of the application package with a lower version number that points to the previous stable version's code. Use ALTER APPLICATION' to downgrade users.
D. Keep the previous stable version staged in the application package. If issues arise with the new version, use release directives to direct users back to the previous version by modifying the 'ACTIVATE_AT parameter or using tags.
E. Before staging the new version, create a full backup of all data warehouses used by your application in consumer accounts.

Antwort: A,D

Begründung:
Options C and E are the correct approaches. Implementing robust logging and monitoring (Option C) is crucial for quickly identifying and diagnosing issues after the upgrade. Keeping the previous stable version staged and using release directives to revert users back to it (Option E) provides a clean and controlled rollback mechanism. Option A is not feasible and cost prohibitive due to backup across multiple consumers. Option B, 'UNSTAGE_VERSION' is not designed for that rollback approach and it is too aggressive. Option D, downgrading using lower version number, will also cause confusion. Maintaining a stable version and dynamically switching using release directives is the best approach.

191. Frage
Consider the following Snowflake Native Application design scenario: You are building a data enrichment application. This application requires a consumer to grant usage on a specific database in their account. The application will then use a user-defined function (UDF) to access and enrich the dat a. To minimize the risk of data exposure and adhere to best practices, which of the following approaches should you take when designing the UDF?

A. Create the UDF with the 'SECURE keyword and implement granular access control within the UDF code, restricting access based on the application role.
B. Create the UDF with the EXTERNAL_ACCESS' keyword to explicitly allow it to access data outside of the application package.
C. Create the UDF without any special keywords, relying solely on the consumer's permissions to control data access.
D. Create the UDF with the 'VOLATILE' keyword to ensure it only runs when explicitly called, limiting the potential for unintended data access.
E. Create the UDF with the 'IMMUTABLE keyword to prevent any data modification within the consumer's database.

Antwort: A

Begründung:
The 'SECURE keyword (Option B) is crucial for protecting data within a Snowflake Native Application. By creating a secure UDF, you can ensure that the UDF's code is protected from unauthorized inspection and modification. Furthermore, implementing granular access control within the UDF allows you to restrict data access based on the application's role, minimizing the risk of data exposure and adhering to best practices. 'VOLATILE, 'IMMUTABLE , and ' EXTERNAL_ACCESS' are irrelevant in this context. Not using any special keyword will not protect your data.

192. Frage
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